This research formulates a hybrid MCDM model integrating FANP and MAIRCA to enhance cold chain performance across multiple dimensions.
Cold Chains (CCs) furnish a regulated environment for the storage, transportation, and distribution of temperature sensitive products. Cold Storage Service Providers (CSSPs) act as intermediaries within the food processing value chain by preserving the quality of a wide range of foods. Further, Cold Chain Performance (CCP) is crucial towards maintaining quality, safety, and economic value of the foods. Consequently, several research studies focused on formulating Multi-Criteria Decision-Making (MCDM) models to enhance CCP. Nevertheless, the focus of such studies was on enhancing performance within specific dimensions viz., sustainability, traceability, digitalization, or resilience etc. Accordingly, this study aims at addressing the research gap, by formulating a novel hybrid conceptual MCDM model integrating Fuzzy Analytical Network Process (FANP) and MultiAtributive Ideal-Real Comparative Analysis (MAIRCA) to holistically assess and rank the performance of CSSPs across multiple performance dimensions.
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Gurrala et al. (2025) studied this question.
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